How does data quality affect model tuning?

How does data quality affect model tuning?

Data quality is crucial for model tuning because high-quality data leads to better model performance and accuracy.

Can you explain what high-quality data looks like?

High-quality data is accurate, complete, consistent, and relevant to the problem being solved.

What are the consequences of using poor-quality data?

Using poor-quality data can result in biased models, inaccurate predictions, and ultimately, failed projects.

How can I improve the quality of my data?

You can improve data quality by cleaning the data, validating it, and ensuring it is collected from reliable sources.